Iterative interference suppressor for wireless multiple-access systems with multiple receive antennas
This invention teaches to the details of an interference suppressing receiver for suppressing intra-cell and inter-cell interference in coded, multiple-access, spread spectrum transmissions that propagate through frequency selective communication channels to a multiplicity of receive antennas. The receiver is designed or adapted through the repeated use of symbol-estimate weighting, subtractive suppression with a stabilizing step-size, and mixed-decision symbol estimates. Receiver embodiments may be designed, adapted, and implemented explicitly in software or programmed hardware, or implicitly in standard RAKE-based hardware either within the RAKE (i.e., at the finger level) or outside the RAKE (i.e., at the user or subchannel symbol level). Embodiments may be employed in user equipment on the forward link or in a base station on the reverse link. It may be adapted to general signal processing applications where a signal is to be extracted from interference.
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This application is a continuation of U.S. patent application Ser. No. 13/372,483, entitled “Iterative Interference Suppressor for Wireless Multiple-Access Systems with Multiple Receive Antennas,” filed Feb. 13, 2012, which is a continuation of U.S. patent application Ser. No. 12/916,389, entitled “Iterative Interference Canceler for Wireless Multiple-Access Systems with Multiple Receive Antennas,” filed Oct. 29, 2010, now U.S. Pat. No. 8,121,176, which is a continuation of U.S. patent application Ser. No. 11/491,674, entitled “An Iterative Interference Canceller for Wireless Multiple-Access Systems with Multiple Receive Antennas,” filed Jul. 24, 2006, now U.S. Pat. No. 7,826,516; which (1) is a Continuation in Part of U.S. patent application Ser. No. 11/451,932, filed Jun. 13, 2006, and entitled “Iterative Interference Cancellation Using Mixed Feedback Weights and Stabilizing Step Sizes,” now U.S. Pat. No. 7,711,075; and (2) claims priority to U.S. Patent Application Ser. No. 60/736,204, filed Nov. 15, 2005, and entitled “Iterative Interference Cancellation Using Mixed Feedback Weights and Stabilizing Step Sizes,” which incorporates by reference (a) U.S. patent application Ser. No. 11/100,935, filed Apr. 7, 2005, entitled “Construction of Projection Operators for Interference Cancellation,” published as U.S. Patent Application Publication Number US 2005/0180364 A1, (b) U.S. patent application Ser. No. 11/233,636, filed Sep. 23, 2005, entitled “Optimal Feedback Weighting for Soft-Decision Cancellers,” published as U.S. Patent Application Publication Number US 2006/0227909 A1, and (c) U.S. patent application Ser. No. 11/266,928, filed Nov. 4, 2005, entitled “Soft Weighted Subtractive Cancellation for CDMA Systems,” now U.S. Pat. No. 7,876,810. The entirety of each of the foregoing patents, published patent applications and patent applications is incorporated by reference herein in its entirety.
BACKGROUND1. Field of the Invention
The present invention relates generally to suppression of intra-channel and inter-channel interference in coded spread spectrum wireless communication systems with multiple receive antennas. More specifically, the invention takes advantage of the receive diversity afforded by multiple receive antennas in combination with multiple uses of an interference-suppression unit consisting of symbol-estimate weighting, subtractive suppression with a stabilizing step-size, and a mixed-decision symbol estimator.
2. Discussion of the Related Art
In an exemplary wireless multiple-access system, a communication resource is divided into code-space subchannels allocated to different users. A plurality of subchannel signals received by a wireless terminal (e.g., a subscriber unit or a base station) may correspond to different users and/or different subchannels allocated to a particular user.
If a single transmitter broadcasts different messages to different receivers, such as a base station in a wireless communication system serving a plurality of mobile terminals, the channel resource is subdivided in order to distinguish between messages intended for each mobile. Thus, each mobile terminal, by knowing its allocated subchannel(s), may decode messages intended for it from the superposition of received signals. Similarly, a base station typically separates signals it receives into subchannels in order to differentiate between users.
In a multipath environment, received signals are superpositions of time-delayed and complex-scaled versions of the transmitted signals. Multipath can cause several types of interference. Intra-channel interference occurs when the multipath time-spreading causes subchannels to leak into other subchannels. For example, forward-link subchannels that are orthogonal at the transmitter may not be orthogonal at the receiver. When multiple base stations (or sectors or cells) are active, inter-channel interference may result from unwanted signals received from other base stations. These types of interference can degrade communications by causing a receiver to incorrectly decode received transmissions, thus increasing a receiver's error floor. Interference may degrade communications in other ways. For example, interference may diminish the capacity of a communication system, decrease the region of coverage, and/or decrease maximum data rates. For these reasons, a reduction in interference can improve reception of selected signals while addressing the aforementioned limitations due to interference. Multiple receive antennas enable the receiver to process more information, allowing greater interference-reduction than can be accomplished with a single receive antenna.
In code division multiple access (such as used in CDMA 2000, WCDMA, EV-DO (in conjunction with time-division multiple access), and related standards), a set of symbols is sent across a common time-frequency slot of the physical channel and separated by the use of a set of distinct code waveforms, which are usually chosen to be orthogonal (or pseudo-orthogonal for reverse-link transmissions). The code waveforms typically vary in time, with variations introduced by a pseudo-random spreading code (PN sequence). The wireless transmission medium is characterized by a time-varying multi path profile that causes multiple time-delayed replicas of the transmitted waveform to be received, each replica having a distinct amplitude and phase due to path loss, absorption, and other propagation effects. As a result, the received code set is no longer orthogonal. Rather, it suffers from intra-channel interference within a base station and inter-channel interference arising from transmissions in adjacent cells.
SUMMARY OF THE INVENTIONIn view of the foregoing background, embodiments of the present invention may provide a generalized interference-suppressing receiver for suppressing intra-channel and inter-channel interference in multiple-access coded-waveform transmissions that propagate through frequency-selective communication channels and are received by a plurality of receive antennas. Receiver embodiments may be designed, adapted, and implemented explicitly in software or programmed hardware, or implicitly in standard RAKE-based hardware. Embodiments may be employed in user equipment on the downlink or in a base station on the uplink.
An interference-suppression system configured for suppressing at least one of inter-cell and intra-cell interference in multiple-access communication signals received from a plurality of antennas comprises a front-end processing means coupled to an iterative interference-suppression means.
A front-end processing means is configured for generating initial symbol estimates to be coupled to an iterative interference-suppression means. The front-end processing means may include, by way of example, but without limitation, a combiner configured for combining received signals from each of a plurality of transmission sources across a plurality of antennas for producing combined signals, a despreader configured for resolving the combined signals onto a signal basis for the plurality of transmission sources to produce soft symbol estimates from the plurality of transmission sources, and a symbol estimator configured for performing a mixed decision on each of the soft symbol estimates to generate the initial symbol estimates.
In one embodiment, the front-end processing means may further comprise a synthesizer configured for synthesizing estimated Rake finger signals for each antenna that would be received if weighted symbol decisions were employed at the plurality of transmission sources, and a subtraction module configured for performing per-antenna subtraction of a sum of synthesized Rake finger signals from that antenna's received signal to produce an error signal.
In another embodiment, the front-end processing means may further comprise a despreader configured for resolving each of a plurality of error signals corresponding to each of a plurality of antennas onto a signal basis for the plurality of transmission sources for producing a plurality of resolved error signals, a first combiner configured for combining the resolved error signals across antennas for producing a combined signal, a stabilizing step-size module configured to scale the combined signal by a stabilizing step size for producing a scaled signal, and a second combiner configured for combining the combined signal with a weighted input vector.
An iterative interference-suppression means may include, by way of example, but without limitation, a sequence of interference-suppression units. In one embodiment, each interference-suppression unit is configured for processing signals received by each of the plurality of antennas, whereby constituent signals for each of a plurality of antennas are added back to corresponding scaled error signals to produce error signals for a plurality of transmission sources, followed by resolving the error signals for the plurality of transmission sources across the plurality of antennas onto a signal basis for the plurality of transmission sources.
In one embodiment, each interference-suppression unit may comprise a soft-weighting module configured to apply weights to a plurality of input symbol decisions to produce weighted symbol decisions, a synthesizer corresponding to each antenna of the plurality of antennas and configured for synthesizing constituent signals, a subtractive suppressor configured to perform a per-antenna subtraction of the synthesized signal from the received signal to produce a plurality of per-antenna error signals, a stabilizing step size module configured for scaling the plurality of antenna error signals by a stabilizing step size for producing a plurality of scaled error signals, a combiner configured for combining each of the constituent signals with its corresponding scaled error signal to produce a plurality of interference-suppressed constituents, a resolving module configured for resolving each of the interference-suppressed constituent signals onto a signal basis for a plurality of transmit sources to produce the interference-suppressed input symbol decisions, and a mixed-decision module configured for processing the interference-suppressed symbol decisions to produce the updated symbol decisions.
Embodiments of the invention may be employed in any receiver configured to support the standard offered by the 3rd-Generation Partnership Project 2 (3GPP2) consortium and embodied in a set of documents, including “TR-45.5 Physical Layer Standard for cdma2000 Spread Spectrum Systems,” “C.S0005-A Upper Layer (Layer 3) Signaling Standard for cdma2000 Spread Spectrum Systems,” and “C.S0024 CDMA2000 High Rate Packet Data Air Interface Specification” (i.e., the CDMA2000 standard).
Receivers and suppression systems described herein may be employed in subscriber-side devices (e.g., cellular handsets, wireless modems, and consumer premises equipment) and/or server-side devices (e.g., cellular base stations, wireless access points, wireless routers, wireless relays, and repeaters). Chipsets for subscriber-side and/or server-side devices may be configured to perform at least some of the receiver and/or suppression functionality of the embodiments described herein.
Various functional elements, separately or in combination as depicted in the figures, may take the form of a microprocessor, digital signal processor, application specific integrated circuit, field programmable gate array, or other logic circuitry programmed or otherwise configured to operate as described herein. Accordingly, embodiments may take the form of programmable features executed by a common processor or a discrete hardware unit.
These and other embodiments of the invention are described with respect to the figures and the following description of the preferred embodiments.
Embodiments according to the present invention are understood with reference to the following figures.
Various functional elements or steps, separately or in combination, depicted in the figures may take the form of a microprocessor, digital signal processor, application specific integrated circuit, field programmable gate array, or other logic circuitry programmed or otherwise configured to operate as described herein. Accordingly, embodiments may take the form of programmable features executed by a common processor or discrete hardware unit.
DESCRIPTION OF THE PREFERRED EMBODIMENTSThe present invention will now be described more fully hereinafter with reference to the accompanying drawings, in which preferred embodiments of the invention are shown. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
The following formula represents an analog baseband signal received from multiple base stations by antenna a of a receiver,
ya(t)=Σs=1BΣl=1L
with the following definitions
-
- a represents an ath antenna of a mobile and ranges from 1 to A;
- (0, T) is a symbol interval;
- B is a number of modeled base stations, which are indexed by subscript s, which ranges from 1 to B. The term “base station” may be used herein to convey cells or sectors;
- La,s is the number of resolvable (or modeled) paths from base station s to antenna a of the mobile, and is indexed from 1 to La,s;
- αa,s,l and τa,s,l are, respectively, the complex gain and delay associated with an lth path from base station s to antenna a of the mobile;
- Ks represents a number of active subchannels in base station s that employ code division multiplexing to share the channel. The subchannels are indexed from 1 to Ks;
- us,k(t) is a code waveform (e.g., spreading waveform) used to carry a kth subchannel's symbol for an sth base station (e.g., a chip waveform modulated by a subchannel-specific Walsh code and covered with a base-station specific PN cover);
- bs,k is a complex symbol being transmitted for the kth subchannel of base station s; and
- wa(t) denotes zero-mean complex additive noise on the ath antenna. The term wa (t) may include thermal noise and any interference whose structure is not explicitly modeled (e.g., inter-channel interference from unmodeled base stations, and/or intra-channel interference from unmodeled paths).
Multipath components received by each RAKE receiver 101.1-101.A are separated with respect to their originating base stations and processed by a plurality B of constituent-signal analyzers 102.1-102.B. Each constituent-signal analyzer 102.1-102.B comprises a combiner, a despreader, and a symbol estimator, such as combiner 111.s, despreader 112.s, and symbol estimator 113.s in constituent-signal analyzer 102.s.
Signals received from different antennas 100.1-100.A corresponding to an sth originating base station are synchronized, and then combined (e.g., maximal ratio combined) by combiner 111.s to produce an sth diversity-combined signal. The despreader 112.s resolves the sth diversity-combined signal onto subchannel code waveforms, and the symbol estimator 113.s produces initial symbol estimates, which are input to a first interference suppression unit (ICU) 104.1 of a sequence of ICUs 104.1-104.M.
ICU 104.1 mitigates intra-channel and/or inter-channel interference in the estimates in order to produce improved symbol estimates. Successive use of ICUs 104.2-104.M further improves the symbol estimates. The ICUs 104.1-104.M may comprise distinct units, or a single unit configured to perform each iteration.
ysmrc(t)=Σa=1Aya,smrc(t). Equation 3
The combined signal is resolved onto subchannel code waveforms by a plurality K of despreading modules, comprising K code-waveform multipliers 302.1-302.K and integrators 303.1-303.K, to give
as a RAKE/Combine/De-Spread output for the kth subchannel of base station s. A column vector of these outputs is denoted
qs=[qs,1 qs,2 . . . qs,K
for base station s, where the superscript T denotes matrix transpose. Each qs,k is processed by one of a plurality of symbol estimators 304.1-304.K to produce
{circumflex over (b)}s,k[0]=Estimate Symbol {qs,k}, Equation 6
where the superscript [0] indicates the initial symbol estimate produced by front-end processing. Symbol estimators 304.1-304.K may include mixed-decision symbol estimators described in U.S. Patent Application Ser. No. 60/736,204, or other types of symbol estimators. An output vector of symbol estimates for base station s may be formed as {circumflex over (b)}s,k[0]=[{circumflex over (b)}s,1[0]{circumflex over (b)}s,2[0] . . . {circumflex over (b)}s,K
It should be appreciated that one or more of the functions described with respect to
γs,k[i]{circumflex over (b)}s,k[i] Equation 7
where {circumflex over (b)}s,k[i], is the input symbol estimate, γs,k[i] is its weighting factor, and superscript [i] represents the output of the ith ICU. The superscript [0] represents the output of front-end processing prior to the first ICU. The symbol estimates may be multiplexed (e.g., concatenated) 402 into a single column vector
{circumflex over (b)}[i]=[({circumflex over (b)}1[i])T({circumflex over (b)}2[i])T . . . ({circumflex over (b)}B[i])T]T
such that the weighted symbol estimates are given by Γ[i]{circumflex over (b)}[i], where Γ[i] is a diagonal matrix containing the weighting factors along its main diagonal. The weighted symbol estimates are processed by a synthesizer used to synthesize 403.1-403.A constituent signals for each antenna. For each antenna, a synthesized signal represents a noise-free signal that would have been observed at antennas a with the base stations transmitting the weighted symbol estimates Γ[i]{circumflex over (b)}[i] over the multipath channels between base stations 1 through B and the mobile receiver.
For each antenna, a subtraction module performs interference suppression 404.1-404.A on the constituent signals to reduce the amount of intra-channel and inter-channel interference. The interference-suppressed constituents are processed via per-antenna RAKE processing and combining 405.1-405.A to produce combined signals. The combined signals are organized by base station, combined across antennas, resolved onto the subchannel code waveforms, and processed by symbol estimators 406.1-406.B. The terms {circumflex over (b)}s,k[i+1] denote the estimated symbol for the kth subchannel of base station s after processing by the (i+1)th ICU.
Σk=0K
A multipath channel emulator comprising path-delay modules 504.1-504.L and path-gain modules 505.1-505.L produces multipath finger constituent signals expressed by
{tilde over (y)}a,s,l[i](t)=αa,s,lΣk=0K
where {tilde over (y)}a,s,l[i](t) is the lth finger constituent for the channel between base station s and antenna a.
{tilde over (y)}a,s,l[i](t)≡γs,k[i]{circumflex over (b)}s,k[i]Σl=oL
which is the synthesized constituent signal for the kth subchannel of base station s at the ath antenna of the mobile. Note that while Equation 9 and Equation 10 both show a signal with a three-parameter subscript for their left-hand sides, they are different signals; the subscript l (as in Equation 9) will be reserved for a finger constituent and the subscript k (as in Equation 10) will be reserved for a subchannel constituent.
A first processor 600 comprises a plurality B of subtractive suppressors 601.1-601.B configured for processing constituent signals relative to each of a plurality B of base stations.
Suppressor 601.s is illustrated with details that may be common to the other suppressors 601.1-601.B. A combiner 602 sums the constituent signals to produce a synthesized received signal associated with base station s, {tilde over (y)}a,s[i](t)≡Σj=oJ
A second processor 610 comprises a combiner 611 configured for combining the synthesized received signals across base stations to produce a combined synthesized receive signal {tilde over (y)}a[i](t)=Σs=1B{tilde over (y)}a,s[i] corresponding to the ath antenna. A subtraction module 612 produces a signal from the difference between the combined synthesized receive signal and the actual received signal to create a residual signal ya(t)−{tilde over (y)}a[i](t). A step size scaling module 613 scales the residual signal with a complex stabilizing step size 613 to give a scaled residual signal μa[i](ya(t)−{tilde over (y)}a[i](t)). The scaled residual signal is returned to the suppressors 601.1-601.B in the first processor 601 where combiners, such as combiners 603.1-603.J in the suppressor 601.s add the scaled residual signal to the constituent signals to produce a set of interference-suppressed constituents expressed by
za,s,j[i](t)≡{tilde over (y)}a,s,l[i](t)+μa[i](ya(t)−{tilde over (y)}a[i](t)) Equation 11
for an interference-suppressed jth constituent finger or subchannel signal on the ath antenna for base station s. The term μa[i] may be evaluated as shown in U.S. patent application Ser. No. 11/451,932, which describes calculating a step size for a single receive antenna. In one embodiment the same step size may be employed for all antennas, meaning μa[i]=μ[i] for all a.
associated with antenna a and base station s,
In
associated with antenna a and base station s.
For each base station, the MRC signals for all antennas are summed 802 to form the overall MRC signal
zsmrc,[i](t)≡Σa=1Aza,smrc,[i](t), Equation 14
which is resolved by code multipliers 803.1-803.K and integrators 804.1-804.K onto the subchannel code waveforms. Symbol estimators 805.1-805.K are employed for producing symbol estimates, such as mixed-decision symbol estimates as described in U.S. patent application Ser. No. 11/451,932.
Because of the linear nature of many of the ICU components, alternative embodiments of the invention may comprise similar components employed in a different order of operation without affecting the overall functionality. In one embodiment, antenna combining and de-spreading may be performed prior to interference suppression, such as illustrated in
In
The output for the kth subchannel of base station s is ∫0T uk*(t)es[i] (t)dt, which is equal to qs,k−{tilde over (q)}s,k[i], where qs,k is defined in Equation 4, and
For each base station, the values qs,k and {tilde over (q)}s,k[i] may be stacked into a vector over the subchannel index k to form qs−{tilde over (q)}s[i]. These likewise may be stacked into a single vector over the base station index s to give q−{tilde over (q)}[i]. This quantity may also be determined explicitly using a matrix multiplication.
An explicit implementation of an ICU is illustrated in
Matrix R is the correlation matrix for all subchannels at the receiver after combining across antennas. It may be evaluated by
R=Σa=1ARa Equation 15
where Ra is the correlation matrix for all subchannels at the ath antenna, and it may be determined as described in U.S. patent application Ser. No. 11/451,932 for a single antenna receiver. The matrix F is either the identity matrix when subchannel constituent signals are employed or the correlation matrix for all subchannels at the transmitter(s) when finger constituent signals are used, such as described in U.S. patent application Ser. No. 11/451,932. This functionality may be represented by the one-step matrix-update equation
{circumflex over (b)}[i−1]=Ψ(μ[i](q−RΓ[i]{circumflex over (b)}[i])+FΓ[i]{circumflex over (b)}[i]), Equation 16
where Ψ(.) represents any function that returns a symbol estimate for each element of its argument (including, for example, any of the mixed-decision symbol estimation functions described in U.S. patent application Ser. No. 11/451,932) and all other quantities as previously described.
The stabilizing step size μ[i] may take any of the forms described in U.S. patent application Ser. No. 11/451,932 that depend on the correlation matrix R, the implementation matrix F, and the weighting matrix Γ[i]. Two of these forms of μ[i] are implicitly calculable, such as described in U.S. patent application Ser. No. 11/451,932 for a single receive antenna.
The difference-signal vector corresponding to the ath antenna is denoted by βa[i]. The difference-signal vectors for all of the antennas are summed to produce a sum vector β[i]. A sum of the square magnitudes 1105 of the elements of the sum vector (i.e., ∥β[i]∥2) provides a numerator of a ratio from which the stabilizing step size is evaluated. The elements of β[i] are used as transmit symbols in order to synthesize 1106 received signals for each antenna. Synthesized received signals are expressed as
for antenna a, where βs,k[i] is the kth element of β[i]. An integral of the square magnitude of each synthesized signal is calculated 1108.1-1108.A and summed 1109 to produce the denominator of the ratio. The ratio of the numerator and the denominator gives the first version of the step size μ[i].
The corresponding numerator is calculated by scaling 1154 symbol estimates produced at the ith iteration by the square of the soft weights (as contained in the diagonal matrix (Γ[i])2). The resulting scaled vector is used to synthesize 1155 received signals for all of the antennas. The synthesized signals and the received signals are processed by a parallel bank of processors 1156.1-1156.A, each corresponding to a particular antenna. The functionality of each processor 1156.1-1156.A may be equivalent to the processor 1101.a shown in
Explicit versions of both versions of the step size are given, respectively, by
wherein all quantities shown are as previously defined.
Another form of the step size in U.S. patent application Ser. No. 11/451,932 depends only on the path gains, and may be generalized to multiple receive antennas according to
where μ[i] is fixed for every ICU and C and p are non-negative constants.
Embodiments of the invention are also applicable to the reverse-link, such as described for the single receive antenna in U.S. patent application Ser. No. 11/451,932. The primary difference (when compared to the forward-link) is that subchannels from distinct transmitters experience different multipath channels and, thus, the receiver must accommodate each subchannel with its own RAKE/Combiner/De-Spreader, and channel emulation must take into account that, in general, every subchannel sees its own channel. Such modifications are apparent to those knowledgeable in the art.
Embodiments of the invention may be realized in hardware or software and there are several modifications that can be made to the order of operations and structural flow of the processing. Those skilled in the art should recognize that method and apparatus embodiments described herein may be implemented in a variety of ways, including implementations in hardware, software, firmware, or various combinations thereof. Examples of such hardware may include Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs), general-purpose processors, Digital Signal Processors (DSPs), and/or other circuitry. Software and/or firmware implementations of the invention may be implemented via any combination of programming languages, including Java, C, C++, Matlab™, Verilog, VHDL, and/or processor specific machine and assembly languages.
Computer programs (i.e., software and/or firmware) implementing the method of this invention may be distributed to users on a distribution medium such as a SIM card, a USB memory interface, or other computer-readable memory adapted for interfacing with a consumer wireless terminal. Similarly, computer programs may be distributed to users via wired or wireless network interfaces. From there, they will often be copied to a hard disk or a similar intermediate storage medium. When the programs are to be run, they may be loaded either from their distribution medium or their intermediate storage medium into the execution memory of a wireless terminal, configuring an onboard digital computer system (e.g. a microprocessor) to act in accordance with the method of this invention. All these operations are well known to those skilled in the art of computer systems.
The functions of the various elements shown in the drawings, including functional blocks labeled as “modules” may be provided through the use of dedicated hardware, as well as hardware capable of executing software in association with appropriate software. When provided by a processor, the functions may be performed by a single dedicated processor, by a shared processor, or by a plurality of individual processors, some of which may be shared. Moreover, explicit use of the term “processor” or “module” should not be construed to refer exclusively to hardware capable of executing software, and may implicitly include, without limitation, digital signal processor OSP hardware, read-only memory (ROM) for storing software, random access memory (RAM), and non-volatile storage. Other hardware, conventional and/or custom, may also be included. Similarly, the function of any component or device described herein may be carried out through the operation of program logic, through dedicated logic, through the interaction of program control and dedicated logic, or even manually, the particular technique being selectable by the implementer as more specifically understood from the context.
The method and system embodiments described herein merely illustrate particular embodiments of the invention. It should be appreciated that those skilled in the art will be able to devise various arrangements, which, although not explicitly described or shown herein, embody the principles of the invention and are included within its spirit and scope. Furthermore, all examples and conditional language recited herein are intended to be only for pedagogical purposes to aid the reader in understanding the principles of the invention. This disclosure and its associated references are to be construed as applying without limitation to such specifically recited examples and conditions. Moreover, all statements herein reciting principles, aspects, and embodiments of the invention, as well as specific examples thereof, are intended to encompass both structural and functional equivalents thereof. Additionally, it is intended that such equivalents include both currently known equivalents as well as equivalents developed in the future, i.e., any elements developed that perform the same function, regardless of structure.
Claims
1. A non-transitory computer-readable storage medium, comprising a plurality of instructions that, when executed, result in an apparatus:
- generating input symbol decisions for constituent signals of multiple-access communication signals received by a plurality of antennas;
- processing the input symbol decisions to obtain updated symbol decisions, wherein said processing includes: resolving each of a plurality of error signals corresponding to each of the plurality of antennas onto a signal basis for one or more transmission sources; combining the resolved error signals across antennas to produce a combined signal; scaling the combined signal by a stabilizing step size to produce a scaled signal; and combining the combined signal with a weighted input vector; and suppressing at least one of inter-cell and intracell interference in the multiple-access communication signals based on the updated symbol decisions.
2. The non-transitory computer-readable storage medium of claim 1, wherein the plurality of instructions further result in the apparatus generating the input decisions by:
- combining received multiple-access communications signals from each of one or more transmission sources across the plurality of antennas to produce a first combined signal;
- resolving the first combined signal onto a signal basis for the one or more transmission sources to produce soft symbol estimates from the one or more transmission sources; and
- performing a mixed decision on each of the soft symbol estimates to generate the input symbol decisions.
3. The non-transitory computer-readable storage medium of claim 2, wherein the plurality of instructions further result in the apparatus suppressing interference from each of a plurality of base stations.
4. The non-transitory computer-readable storage medium of claim 1, wherein the plurality of instructions further result in the apparatus generating Rake-finger signals that comprise the constituent signals.
5. The non-transitory computer-readable storage medium of claim 1, wherein the plurality of instructions further result in the apparatus:
- synthesizing estimated Rake finger signals for each antenna that would be received if weighted symbol decisions were employed at the one or more transmission sources; and
- performing per-antenna subtraction of a sum of synthesized Rake finger signals from that antenna's received signal to produce an error signal.
6. The non-transitory computer-readable storage medium of claim 1, wherein the plurality of instructions further result in the apparatus synthesizing received signals associated with each of the one or more transmission sources for the constituent signals.
7. A non-transitory computer-readable storage medium, comprising a plurality of instructions, which when executed, result in an apparatus:
- processing constituent signals from multiple-access communication signals received by a plurality of antennas to generate input symbol decisions; and
- iteratively processing the input symbol decisions to suppress at least one of inter-cell and intracell interference in the multiple-access communication signals, wherein said iterative processing includes: resolving each of one or more error signals each corresponding to one of the plurality of antennas onto a signal basis for one or more transmission sources to produce one or more of resolved error signals; combining the one or more resolved error signals across antennas to produce a combined signal; scaling the combined signal by a stabilizing step size to produce a scaled signal; and combining the combined signal with a weighted input vector.
8. The non-transitory computer-readable storage medium of claim 7, wherein the plurality of instructions further result in the apparatus iteratively processing the input symbol decisions to convert the input symbol decisions into updated symbol decisions.
9. The non-transitory computer-readable storage medium of claim 7, wherein the plurality of instructions further result in the apparatus:
- generating the stabilizing step size having a magnitude indicative of how far the input symbol decisions are from desired interference-suppressed symbol decisions; and
- weighting an error signal with the stabilizing step size.
10. The non-transitory computer-readable storage medium of claim 9, wherein the plurality of instructions further result in the apparatus generating the stabilizing step size as a ratio of distance measures between received signals combined across the plurality of antennas and synthesized received signals combined across the plurality of antennas.
11. The non-transitory computer-readable storage medium of claim 9, wherein the plurality of instructions further result in the apparatus generating the stabilizing step size as a ratio of distance measures between received signals combined across the plurality of antennas and two differently synthesized received signals for each antenna that are combined across the plurality of antennas.
12. The non-transitory computer-readable storage medium of claim 9, wherein the plurality of instructions further result in the apparatus generating the stabilizing step as a function of channel quality parameters.
13. The non-transitory computer-readable storage medium of claim 7, wherein the plurality of instructions further result in the apparatus setting the stabilizing step equal to a predetermined fixed value.
14. The non-transitory computer-readable storage medium of claim 7, wherein the plurality of instructions further result in the apparatus:
- combining one or more received signals from each of one or more transmission sources across the plurality of antennas to produce one or more combined signals;
- resolving the one or more combined signals onto a signal basis for the one or more transmission sources to produce soft symbol estimates from the one or more transmission sources; and
- performing a mixed decision on each of the soft symbol estimates to generate the input symbol decisions.
15. The non-transitory computer-readable storage medium of claim 7, wherein the plurality of instructions further result in the apparatus suppressing interference from each of a plurality of base stations.
16. The non-transitory computer-readable storage medium of claim 7, wherein the plurality of instructions further result in the apparatus generating Rake-finger signals that comprise the constituent signals.
17. The non-transitory computer-readable storage medium of claim 7, wherein the plurality of instructions further result in the apparatus:
- synthesizing estimated Rake finger signals for each antenna that would be received if weighted symbol decisions were employed at the one or more transmission sources; and
- performing per-antenna subtraction of a sum of synthesized Rake finger signals from that per-antenna received signal to produce one or more antenna error signals.
18. The non-transitory computer-readable storage medium of claim 7, wherein the plurality of instructions further result in the apparatus synthesizing received signals associated with each of the one or more transmission sources for the constituent signals.
3742201 | June 1973 | Groginsky |
4088955 | May 9, 1978 | Baghdady |
4309769 | January 5, 1982 | Taylor, Jr. et al. |
4359738 | November 16, 1982 | Lewis |
4601046 | July 15, 1986 | Halpern et al. |
4665401 | May 12, 1987 | Garrard et al. |
4670885 | June 2, 1987 | Parl et al. |
4713794 | December 15, 1987 | Byington et al. |
4780885 | October 25, 1988 | Paul et al. |
4856025 | August 8, 1989 | Takai |
4893316 | January 9, 1990 | Janc et al. |
4922506 | May 1, 1990 | McCallister et al. |
4933639 | June 12, 1990 | Barker |
4965732 | October 23, 1990 | Roy, III et al. |
5017929 | May 21, 1991 | Tsuda |
5099493 | March 24, 1992 | Zeger et al. |
5105435 | April 14, 1992 | Stilwell |
5109390 | April 28, 1992 | Gilhousen et al. |
5119401 | June 2, 1992 | Tsujimoto |
5136296 | August 4, 1992 | Roettger et al. |
5151919 | September 29, 1992 | Dent |
5218359 | June 8, 1993 | Minamisono |
5218619 | June 8, 1993 | Dent |
5220687 | June 15, 1993 | Ichikawa et al. |
5224122 | June 29, 1993 | Bruckert |
5237586 | August 17, 1993 | Bottomley |
5263191 | November 16, 1993 | Kickerson |
5271042 | December 14, 1993 | Borth et al. |
5280472 | January 18, 1994 | Gilhousen et al. |
5305349 | April 19, 1994 | Dent |
5325394 | June 28, 1994 | Bruckert |
5343493 | August 30, 1994 | Karimullah |
5343496 | August 30, 1994 | Honig et al. |
5347535 | September 13, 1994 | Karasawa et al. |
5353302 | October 4, 1994 | Bi |
5377183 | December 27, 1994 | Dent |
5386202 | January 31, 1995 | Cochran et al. |
5390207 | February 14, 1995 | Fenton et al. |
5394110 | February 28, 1995 | Mizoguchi |
5396256 | March 7, 1995 | Chiba et al. |
5423045 | June 6, 1995 | Kannan |
5437055 | July 25, 1995 | Wheatley, III |
5440265 | August 8, 1995 | Cochran et al. |
5448600 | September 5, 1995 | Lucas |
5467368 | November 14, 1995 | Takeuchi et al. |
5481570 | January 2, 1996 | Winters |
5506865 | April 9, 1996 | Weaver, Jr. |
5513176 | April 30, 1996 | Dean et al. |
5533011 | July 2, 1996 | Dean et al. |
5553062 | September 3, 1996 | Schilling et al. |
5553098 | September 3, 1996 | Cochran et al. |
5568411 | October 22, 1996 | Batruni |
5602833 | February 11, 1997 | Zehavi |
5606560 | February 25, 1997 | Malek |
5644592 | July 1, 1997 | Divsalar et al. |
5736964 | April 7, 1998 | Ghosh et al. |
5761237 | June 2, 1998 | Petersen |
5787130 | July 28, 1998 | Kotzin et al. |
5844521 | December 1, 1998 | Stephens et al. |
5859613 | January 12, 1999 | Otto |
5872540 | February 16, 1999 | Casabona et al. |
5872776 | February 16, 1999 | Yang |
5894500 | April 13, 1999 | Bruckert et al. |
5926761 | July 20, 1999 | Reed et al. |
5930229 | July 27, 1999 | Yoshida et al. |
5953369 | September 14, 1999 | Suzuki |
5978413 | November 2, 1999 | Bender |
5995499 | November 30, 1999 | Hottinen et al. |
6002727 | December 14, 1999 | Uesugi |
6014373 | January 11, 2000 | Schilling et al. |
6018317 | January 25, 2000 | Dogan et al. |
6032056 | February 29, 2000 | Reudink |
6088383 | July 11, 2000 | Suzuki et al. |
6101385 | August 8, 2000 | Monte et al. |
6104712 | August 15, 2000 | Robert et al. |
6115409 | September 5, 2000 | Upadhyay et al. |
6127973 | October 3, 2000 | Choi et al. |
6131013 | October 10, 2000 | Bergstrom et al. |
6137788 | October 24, 2000 | Sawahashi et al. |
6141332 | October 31, 2000 | Lavean |
6154443 | November 28, 2000 | Huang et al. |
6157685 | December 5, 2000 | Tanaka et al. |
6157842 | December 5, 2000 | Karlsson et al. |
6157847 | December 5, 2000 | Buehrer et al. |
6161209 | December 12, 2000 | Moher |
6163696 | December 19, 2000 | Bi et al. |
6166690 | December 26, 2000 | Lin et al. |
6172969 | January 9, 2001 | Kawakami et al. |
6175587 | January 16, 2001 | Madhow et al. |
6175588 | January 16, 2001 | Visotsky et al. |
6177906 | January 23, 2001 | Petrus |
6185716 | February 6, 2001 | Riggle |
6192067 | February 20, 2001 | Toda et al. |
6201799 | March 13, 2001 | Huang et al. |
6208683 | March 27, 2001 | Mizuguchi et al. |
6215812 | April 10, 2001 | Young et al. |
6219376 | April 17, 2001 | Zhodzishsky et al. |
6222828 | April 24, 2001 | Ohlson et al. |
6230180 | May 8, 2001 | Mohamed |
6233229 | May 15, 2001 | Ranta et al. |
6233459 | May 15, 2001 | Sullivan et al. |
6240124 | May 29, 2001 | Wiedeman et al. |
6252535 | June 26, 2001 | Kober et al. |
6256336 | July 3, 2001 | Rademacher et al. |
6259688 | July 10, 2001 | Schilling et al. |
6263208 | July 17, 2001 | Chang et al. |
6266529 | July 24, 2001 | Chheda |
6275186 | August 14, 2001 | Kong |
6278726 | August 21, 2001 | Mesecher et al. |
6282231 | August 28, 2001 | Norman et al. |
6282233 | August 28, 2001 | Yoshida |
6285316 | September 4, 2001 | Nir et al. |
6285319 | September 4, 2001 | Rose |
6285861 | September 4, 2001 | Bonaccorso et al. |
6301289 | October 9, 2001 | Bejjani et al. |
6304618 | October 16, 2001 | Hafeez et al. |
6307901 | October 23, 2001 | Yu et al. |
6308072 | October 23, 2001 | Labedz et al. |
6310704 | October 30, 2001 | Dogan et al. |
6317453 | November 13, 2001 | Chang |
6320919 | November 20, 2001 | Khayrallah et al. |
6321090 | November 20, 2001 | Soliman |
6324159 | November 27, 2001 | Mennekens et al. |
6327471 | December 4, 2001 | Song |
6330460 | December 11, 2001 | Wong et al. |
6333947 | December 25, 2001 | van Heeswyk et al. |
6351235 | February 26, 2002 | Stilp |
6351642 | February 26, 2002 | Corbett et al. |
6359874 | March 19, 2002 | Dent |
6362760 | March 26, 2002 | Kober et al. |
6363104 | March 26, 2002 | Bottomley |
6377607 | April 23, 2002 | Ling |
6377636 | April 23, 2002 | Paulraj et al. |
6380879 | April 30, 2002 | Kober et al. |
6385264 | May 7, 2002 | Terasawa et al. |
6396804 | May 28, 2002 | Odenwalder |
6404760 | June 11, 2002 | Holtzman et al. |
6414949 | July 2, 2002 | Boulanger |
6426973 | July 30, 2002 | Madhow et al. |
6430216 | August 6, 2002 | Kober |
6449246 | September 10, 2002 | Barton et al. |
6459693 | October 1, 2002 | Park et al. |
6466611 | October 15, 2002 | Bachu |
6496534 | December 17, 2002 | Shimizu et al. |
6501788 | December 31, 2002 | Wang et al. |
6515980 | February 4, 2003 | Bottomley |
6522683 | February 18, 2003 | Smee |
6529495 | March 4, 2003 | Aazhang et al. |
6535554 | March 18, 2003 | Webster et al. |
6546043 | April 8, 2003 | Kong |
6570909 | May 27, 2003 | Kansakoski et al. |
6570919 | May 27, 2003 | Lee |
6574270 | June 3, 2003 | Madkour et al. |
6580771 | June 17, 2003 | Kenney |
6584115 | June 24, 2003 | Suzuki |
6590888 | July 8, 2003 | Ohshima |
6594318 | July 15, 2003 | Sindhushayana |
6647078 | November 11, 2003 | Thomas et al. |
6678508 | January 13, 2004 | Koilpillai et al. |
6680727 | January 20, 2004 | Butler et al. |
6687723 | February 3, 2004 | Ding |
6690723 | February 10, 2004 | Gosse |
6711219 | March 23, 2004 | Thomas |
6714585 | March 30, 2004 | Wang et al. |
6724809 | April 20, 2004 | Reznik |
6741634 | May 25, 2004 | Kim |
6754340 | June 22, 2004 | Ding |
6798737 | September 28, 2004 | Dabak et al. |
6798850 | September 28, 2004 | Wedin |
6801565 | October 5, 2004 | Bottomley et al. |
6829313 | December 7, 2004 | Xu |
6839390 | January 4, 2005 | Mills |
6850772 | February 1, 2005 | Mottier |
6882678 | April 19, 2005 | Kong et al. |
6909742 | June 21, 2005 | Leonosky |
6912250 | June 28, 2005 | Adireddy |
6931052 | August 16, 2005 | Fuller |
6947481 | September 20, 2005 | Citta et al. |
6947506 | September 20, 2005 | Mills |
6956893 | October 18, 2005 | Frank et al. |
6959065 | October 25, 2005 | Sparrman et al. |
6963546 | November 8, 2005 | Misra et al. |
6975669 | December 13, 2005 | Ling et al. |
6975671 | December 13, 2005 | Sindhushayana et al. |
6986096 | January 10, 2006 | Chaudhuri et al. |
6993070 | January 31, 2006 | Berthet et al. |
6996385 | February 7, 2006 | Messier et al. |
7010073 | March 7, 2006 | Black et al. |
7020175 | March 28, 2006 | Frank |
7027533 | April 11, 2006 | Abe et al. |
7035316 | April 25, 2006 | Smee et al. |
7035354 | April 25, 2006 | Karnin et al. |
7039095 | May 2, 2006 | Takahashi |
7042929 | May 9, 2006 | Pan et al. |
7051268 | May 23, 2006 | Sindhushayana et al. |
7054354 | May 30, 2006 | Gorokhov et al. |
7069050 | June 27, 2006 | Yoshida |
7072628 | July 4, 2006 | Agashe et al. |
7092464 | August 15, 2006 | Mills |
7133435 | November 7, 2006 | Papasakellariou et al. |
7200183 | April 3, 2007 | Olson |
7209511 | April 24, 2007 | Dent |
7298805 | November 20, 2007 | Walton et al. |
7394879 | July 1, 2008 | Narayan |
7397842 | July 8, 2008 | Bottomley et al. |
7397843 | July 8, 2008 | Grant et al. |
7430253 | September 30, 2008 | Olson |
7463609 | December 9, 2008 | Scharf |
7477710 | January 13, 2009 | Narayan |
7535969 | May 19, 2009 | Catreux et al. |
7577186 | August 18, 2009 | Thomas |
7623602 | November 24, 2009 | Guess et al. |
7733941 | June 8, 2010 | McCloud |
7826516 | November 2, 2010 | Guess et al. |
8121176 | February 21, 2012 | Guess et al. |
8446975 | May 21, 2013 | Guess et al. |
8879658 | November 4, 2014 | Guess et al. |
20010003443 | June 14, 2001 | Velazquez et al. |
20010017883 | August 30, 2001 | Tirola et al. |
20010020912 | September 13, 2001 | Naruse et al. |
20010021646 | September 13, 2001 | Antonucci et al. |
20010028677 | October 11, 2001 | Wang |
20010046266 | November 29, 2001 | Rakib et al. |
20010053143 | December 20, 2001 | Li et al. |
20020001299 | January 3, 2002 | Petch et al. |
20020009156 | January 24, 2002 | Hottinen et al. |
20020021747 | February 21, 2002 | Sequeira |
20020051433 | May 2, 2002 | Affes et al. |
20020060999 | May 23, 2002 | Ma |
20020118781 | August 29, 2002 | Thomas et al. |
20020131534 | September 19, 2002 | Ariyoshi et al. |
20020154717 | October 24, 2002 | Shima |
20020159507 | October 31, 2002 | Flaig et al. |
20020172173 | November 21, 2002 | Schilling et al. |
20020176488 | November 28, 2002 | Kober |
20020186761 | December 12, 2002 | Corbaton |
20030005009 | January 2, 2003 | Usman |
20030012264 | January 16, 2003 | Papasakellariou et al. |
20030035468 | February 20, 2003 | Corbaton |
20030035469 | February 20, 2003 | Frank et al. |
20030050020 | March 13, 2003 | Erceg |
20030053526 | March 20, 2003 | Reznik |
20030086479 | May 8, 2003 | Naguib |
20030095590 | May 22, 2003 | Fuller |
20030156630 | August 21, 2003 | Sriram |
20030198201 | October 23, 2003 | Ylitalo |
20030210667 | November 13, 2003 | Zhengdi |
20030219085 | November 27, 2003 | Endres |
20040001537 | January 1, 2004 | Zhang et al. |
20040008765 | January 15, 2004 | Chung |
20040013190 | January 22, 2004 | Jayaraman |
20040017867 | January 29, 2004 | Thomas |
20040076224 | April 22, 2004 | Onggosanusi et al. |
20040095907 | May 20, 2004 | Agee et al. |
20040116078 | June 17, 2004 | Rooyen et al. |
20040136445 | July 15, 2004 | Olson et al. |
20040146024 | July 29, 2004 | Li et al. |
20040146093 | July 29, 2004 | Olson |
20040161065 | August 19, 2004 | Buckley |
20040165675 | August 26, 2004 | Ito et al. |
20040190601 | September 30, 2004 | Papadimitriou |
20040196892 | October 7, 2004 | Reznik |
20040248515 | December 9, 2004 | Molev Shteiman |
20040264552 | December 30, 2004 | Smee |
20050002445 | January 6, 2005 | Dunyak et al. |
20050013349 | January 20, 2005 | Chae et al. |
20050084045 | April 21, 2005 | Stewart |
20050101259 | May 12, 2005 | Tong et al. |
20050111408 | May 26, 2005 | Skillermark et al. |
20050111566 | May 26, 2005 | Park et al. |
20050129107 | June 16, 2005 | Park |
20050152267 | July 14, 2005 | Song et al. |
20050157811 | July 21, 2005 | Bjerke et al. |
20050163196 | July 28, 2005 | Currivan et al. |
20050180364 | August 18, 2005 | Nagarajan |
20050185729 | August 25, 2005 | Mills |
20050190868 | September 1, 2005 | Khandekar et al. |
20050195889 | September 8, 2005 | Grant |
20050201499 | September 15, 2005 | Jonsson |
20050213529 | September 29, 2005 | Chow et al. |
20050223049 | October 6, 2005 | Regis |
20050243908 | November 3, 2005 | Heo |
20050259770 | November 24, 2005 | Chen |
20050265465 | December 1, 2005 | Hosur |
20060007895 | January 12, 2006 | Coralli et al. |
20060013289 | January 19, 2006 | Hwang |
20060047842 | March 2, 2006 | McElwain |
20060078042 | April 13, 2006 | Lee et al. |
20060083202 | April 20, 2006 | Kent et al. |
20060125689 | June 15, 2006 | Narayan et al. |
20060126703 | June 15, 2006 | Karna |
20060141933 | June 29, 2006 | Smee et al. |
20060141934 | June 29, 2006 | Pfister et al. |
20060141935 | June 29, 2006 | Hou et al. |
20060142041 | June 29, 2006 | Tomasin et al. |
20060153283 | July 13, 2006 | Scharf |
20060215781 | September 28, 2006 | Lee et al. |
20060227730 | October 12, 2006 | McCloud |
20060227854 | October 12, 2006 | McCloud |
20060227909 | October 12, 2006 | Thomas et al. |
20060229051 | October 12, 2006 | Narayan |
20060245509 | November 2, 2006 | Khan et al. |
20070153935 | July 5, 2007 | Yang et al. |
4201439 | July 1993 | DE |
4326843 | February 1995 | DE |
4343959 | June 1995 | DE |
0558910 | January 1993 | EP |
0610989 | January 1994 | EP |
1179891 | February 2002 | EP |
2280575 | February 1995 | GB |
2000-13360 | January 2000 | JP |
WO 93/12590 | June 1995 | WO |
WO 01/89107 | November 2001 | WO |
WO 02/080432 | October 2002 | WO |
- Response to Notice to File Corrected Application Papers dated May 19, 2010 re U.S. Appl. No. 12/731,960 (63 Pages).
- D. Guo, et al., “Linear parallel interference cancellation in long-code CDMA,” IEEE J. Selected Areas Commun., Dec. 1999, pp. 2074-2081, vol. 17., No. 12.
- D. Guo, et al., “MMSE-based linear parallel interference cancellation in CDMA,” inProceedings of IEEE Int. Symp. Spread Spectrum Techniques and Appl., Sep. 1998, pp. 917-921.
- L. Rassmussen, et al., “Convergence behaviour of linear parallel cancellation in CDMA,” IEEE Global Telecom. Conf. (San Antonio, Texas), Dec. 2001, pp. 3148-2152.
- D. Guo, et al., “A Matrix-Algebraic Approach to Linear Parallel Interference Cancellation in CDMA,” IEEE Trans. Commun., Jan. 2000, pp. 152-161, vol. 48., No. 1.
- L. Rasmussen, et al., “Ping-Pong Effects in Linear Parallel Interference Cancellation for CDMA,” IEEE Trans. Wireless Commun., Mar. 2003, pp. 357-363, vol. 2., No. 2.
- T. Lin, et al., “Iterative Multiuser Coding with Maximal Ratio Combining,” Australian Workshop on Commun. Theory, (Newcastle, Australia), Feb. 2004, pp. 42-46.
- T. Lin et al., “Truncated Maximal Ratio Combining for Iterative Multiuser Decoding,” Australian Workshop on Commun. Theory, (Brisbane, Australia), Feb. 2005.
- X. Wang, et al., “Iterative (Turbo) Soft Interference Cancellation and Decoding for Coded CDMA,” IEEE Transactions on Communications, Jul. 1999, pp. 1046-1061, vol. 47, No. 7.
- D. Divsalar, et al., “Improved Parallel Interference Cancellation for CDMA,” IEEE Trans. on Comm., Feb. 1998, pp. 258-268, vol. 46, No. 2.
- M. Ali-Hackl, et al., “Error Vector Magnitude as a Figure of Merit for CDMA Receiver Design,” The 5th European Wireless Conf., Feb. 2004.
- J. Robler, et al., “Matched-Filter-and MMSE-Based Iterative Equalization with Soft Feedback for QPSK Transmission,” International Zurich Seminar on Broadband Communications (IZS '02) pp. 19-1-19-6, Feb. 2002.
- Lin, et al., Digital Filters for High Performance Audio Delta-sigma Analog-to-digital and Digital-to-analog Conversions, Proceedings of ICSP, Crystal Semiconductor Corporation, 1996, Austin, TX, US.
- D. Brown, et al., “On the Performance of Linear Parallel Interference Cancellation,” IEEE Trans. Information Theory, V. 47, No. 5, Jul. 2001, pp. 1957-1970.
- M. Kobayashi, et al., “Successive Interference Cancellation with SISO Decoding and EM Channel Estimation,” IEEE J. Sel. Areas Comm., V. 19, No. 8, Aug. 2001, pp. 1450-1460.
- J. Proakis, Digital Communications (4th ed. 2000), pp. 622-626, 956-959.
- P. Naidu, Modern Digital Signal Procesing: An Introduction (2003), pp. 124-126.
- S. Verdu, Multiuser Detection (1998), pp. 291-306.
- G. Xue, et al., “Adaptive Multistage Parallel Interference Cancellation for CDMA over Multipath Fading Channels,” IEEE J. on Selected Areas in Comm. Oct. 1999, V. 17, No. 10.
- K. Hooli, et al., “Chip-Level Channel Equalization in WCDMA Downlink,” Eurasip J. on Applied Signal Processing 2002:8, pp. 757-770.
- L. Rasmussen, et al., “A Matrix-Algebraic Approach to Successive Interference Cancellation in CDMA,” IEEE Trans. Comm, Jan. 2000, V. 48, No. 1, pp. 145-151.
- P. Tan, et al. “Linear interference Cancellation in CDMA Based on Iterative Techniques for Linear Equation Systems,” IEEE Trans. Comm., Dec. 2000, V. 48, No. 12, pp. 2099-2108.
- A. Yener, et al., “CDMA Multiuser Detection: A Nonlinear Programming Approach,” IEEE Trans. Comm, Jun. 2002, V. 50, No. 6, pp. 1016-1024.
- A. Persson, et al., “Time-Frequency Localization CDMA for Downlink Multi-Carrier Systems,” 2002 IEEE 7th Int. Symp. Spread Spectrum, 2002, vol. 1, pp. 118-122.
- H. Ping, et al. “Decision-Feedback Blind Adaptive Multiuser Detector for Synchronous CDMA System,” IEEE Trans. Veh. Tech., Jan. 2000, V. 49, No. 1, pp. 159-166.
- H. Dai, et al., “Iterative Space-Time Processing for Multiuser Detection in Multipath CDMA Channels,” IEEE Trans. Signal Proc., Sep. 2002, V. 50, N. 6.
- Y. Guo, “Advanced MIMO-CDMA Receiver for Interference Suppression: Algorithms, System-on-Chip Architecture and Design Methodology,” PhD Thesis, Rice U., May 2005, pp. 165-185.
- S. Kim, et al., “Adaptive Weighted Parallel Interference Cancellation for CDMA Systems,” Electronic Letters, Oct. 29, 1998, V. 34, N. 22.
- H. Yan, et al., “Paralle Interference Cancellation for Uplink Multirate Overlay CDMA Channels,” IEEE Trans. Comm. V. 53, No. 1, Jan. 2005, pp. 152-161.
- J. Winters, “Optimal Combining in Digital Mobile Radio with Cochannel Interference,” IEEE J. Selected Areas in Comm., V SAC-2, No. 4, Jul. 1984, pp. 538-539.
- D. Athanasios, et al., “SNR Estimation Algorighms in AWGN for HiperLAN/2 Transceiver,” MWCN 2005 Morocco, Sep. 19-21, 2005.
- D. Divsalar, “Improved Parallel Interference Cancellation for CDMA,” IEEE Trans., Comm., V. 46, No. 2, Feb. 1998, pp. 258-268.
- T. Lim, S. Roy, “Adaptive filters in multiuser (MU) CDMA detection,” Wireless Networks 4 (1998) pp. 307-318.
- D. Guo, et al., “A Matrix-Algebraic Approach to Linear Parallel Interference Cancellation in CDMA,” IEEE TRans. Comm., V. 48, No. 1, Jan. 2000, pp. 152-161.
- L. Rasmussen, et al., “A Matrtix-Algebraic Approach to Successive Interference Cancellation in CDMA,” IEEE Trans. Comm., V. 48, No. 1, Jan. 2000, pp. 145-151.
- D. Guo, et al., “Linear Parallel Interference Cancellation in Long-Code CDMA Multiuser Detection,” IEEE J. Sel. Areas Comm., V. 17, No. 12, Dec. 1999, pp. 2074-2081.
- Response dated May 6, 2010 to Non-Final Office Action mailed Dec. 14, 2009 re U.S. Appl. No. 11/266,928. 43 Pages.
- Wang, Xiaodong et al., “Space-Time Multiuser Detection in Multipath CDMA Channels”, IEEE Transactions on Signal Processing, vol. 47, No. 9, Sep. 1999. 19 Pages.
- Marinkovic, Slavica et al., “Space-Time Iterative and Multistage Receiver Structures for CDMA Mobile Communications Systems”, IEEE Journal on Selected Areas in Communications, vol. 19, No. 8, Aug. 2001. 11 Pages.
- Jayaweera, Sudharman K. et al., “A RAKE-Based Iterative Receiver for Space-Time Block-Coded Multipath CDMA”, IEEE Transactions on Signal Processing, vol. 52, No. 3, Mar. 2004. 11 Pages.
- Mohamed, Nermin A. et al., “A Low-Complexity Combined Antenna Array and Interference Cancellation DS-CDMA Receiver in Multipath Fading Channels”, IEEE Journal on Selected Areas in Communications, vol. 20, No. 2, Feb. 2002. 9 Pages.
- Response dated May 13, 2010 to final Office Action mailed Apr. 19, 2010 re U.S. Appl. No. 11/272,411 includes Terminal Disclaimer. 6 Pages.
- Notice of Allowance and Fee(s) Due with mail date of May 28, 2010 for U.S. Appl. No. 11/272,411. 7 pages.
- Lin, Kun; Zhao, Kan; Chui, Edmund; Krone, Andrew; and Nohrden, Jim; “Digital Filters for High Performance Audio Delta-sigma Analog-to-Digital and Digital-to-Analog Conversions,” Proceedings of ICSP '96, Crystal Semiconductor Corporation. Austin, TX, US. 5 pages, Oct. 1996.
- Response dated Aug. 17, 2010 to the Final Office Action of Jun. 28, 2010, re U.S. Appl. No. 11/266,928. 47 pages.
- PCT Notification of Transmittal of International Search Report and Written Opinion of International Searching Authority date of mailing Sep. 21, 2007, re Int'l Application No. PCT/US 06/36018. 10 pages.
- Advisory Action Before the Filing of an Appeal Brief Office Action for reply filed Aug. 17, 2010, dated Sep. 1, 2010, in re U.S. Appl. No. 11/266,928. 2 pages.
- Office Action dated May 6, 2007, with mail date of Jun. 28, 2010, re U.S. Appl. No. 11/266,928. 17 pages.
- Notice of Allowance and Fees Due with mail date of Nov. 30, 2010 for U.S. Appl. No. 11/266,928 includes excerpt from Response to Final Office Action and Examiner's comments. 21 Pages.
- Mitra, et al., “Adaptive Decorrelating Detectors for CDMA Systems,” accepted for Wireless Communications Journal, accepted May 1995. 25 pages.
- Schneider, “Optimum Detection of Code Division Multiplexed Signals,” IEEE Transactions on Aerospace and Electronic Systems, vol. AES-15, No. 1, Jan. 1979.
- Mitra, et al., “Adaptive Receiver Algorithms for Near-Far Resistant CDMA,” IEEE Transactions on Communications, Apr. 1995.
- Lupas, et al., “Near-Far Resistance of Multiuser Detectors in Asynchronous Channels,” IEEE transactions on Communications, vol. 38, No. 4, Apr. 1990.
- Lupas, et al., “Linear Multiuser Detectors for Synchronous Code-Division Multiple-Access Channels,” IEEE Transactions on Information Theory, vol. 35, No. 1, Jan. 1989.
- Kohno, et al., “Cancellation Techniques of Co-Channel Interference in Asynchronous Spread Spectrum Multiple Access Systems,” May 1983, vol. J 56-A, No. 5.
- Garg, et al., “Wireless and Personal Communications Systems,” Prentice Hall, Upper Saddle River, NJ, US, 1996. pp. 79-151.
- Cheng, et al., “Spread-Spectrum Code Acquisition in the Presence of Doppler Shift and Data Modulation,” IEEE Transactions on Communications, vol. 38, No. 2, Feb. 1990.
- Behrens, et al., “Parameter Estimation in the Presence of Low Rank Noise,” pp. 341-344, Maple Press, 1988.
- Best, “Phase-Locked Loops—Design, Simulation, and Applications,” McGraw-Hill, 1999. pp. 251-287.
- Iltis, “Multiuser Detection of Quasisynchronous CDMA Signals Using Linear Decorrelators,” IEEE Transactions on Communications, vol. 44, No. 11, Nov. 1996.
- Rappaport, “Wireless Communications—Principles & Practice,” Prentice Hall, Upper Saddle River, NJ, US. 1996, pp. 518-533.
- Scharf, et al., “Matched Subspace Detectors,” IEEE Transactions on Signal Processing, vol. 42, No. 8, Aug. 1994.
- Price, et al., “A Communication Technique for Multipath Channels,” Proceedings of the IRE, vol. 46, The Institute of Radio Engineers, New York, NY, US, 1958. 16 pages.
- Affes, et al., “Interference Subspace Rejection: A Framework for Multiuser Detection in Wideband CDMA,” IEEE Journal on Selected Areas in Communications, vol. 20, No. 2, Feb. 2002.
- Schlegel, et al., “Coded Asynchronous CDMA and Its Efficient Detection,” IEEE Transactions on Information Theory, vol. 44, No. 7, Nov. 1998.
- Xie, et al., “A Family of Suboptimum Detectors for Coherent Multiuser Communications,” IEEE Journal on Selected Areas in Communications, vol. 8, No. 4, May 1990.
- Viterbi, “Very Low Rate Convolutional Codes for Maximum Theoretical Performance of Spread-Spectrum Multiple-Access Channels,” vol. 8, No. 4, May 1990.
- Viterbi, “CDMA—Principles of Spread Spectrum Communication,” Addison-Wesley, Reading, MA, US. 1995, pp. 11-75 and 179-233.
- Verdu, “Mimimum Probability of Error for Asynchronous Gaussian Multiple-Access Channels,” IEEE Transactions on Information Theory, vol. IT-32, No. 1, Jan. 1986.
- Kalpan, “Understanding GPS—Principles and Applications,” Artech House, Norwood MA, 1996, pp. 83-236.
- Scharf, “Statistical Signal Processing—Detection, Estimation, and Time Series Analysis,” Addison-Wesley, Reading, MA, US. 1990, pp. 23-75 and 103-178.
- Stimson, “Introduction to Airborne Radar,” 2nd Edition, SciTech Publishing, Mendham, NJ, US. 1998, pp. 163-176 and 473-491. 40 pages.
- Behrens et al., “Signal Processing Applications of Oblique Projection Operators,” IEEE Transactions on Signal Processing, vol. 42, No. 6, Jun. 1994, pp. 1413-1424.
- Alexander, et al., “A Linear Receiver for Coded Multiuser CDMA,” IEEE transactions on Communications, vol. 45, No. 5, May 1997.
- Schlegel et al., “Multiuser Projection Receivers,” IEEE Journal on Selected Areas in Communications, vol. 14, No. 8, Oct. 1996. 9 pages.
- Halper, et al., “Digital-to-Analog Conversion by Pulse-Count Modulation Methods,” IEEE Transactions on Instrumentation and Measurement, vol. 45, No. 4, Aug. 1996.
- Ortega, et al., “Analog to Digital and Digital to Analog Conversion Based on Stochastic Logic,” IEEE 0-7803-3026-9/95, 1995. 5 pages.
- Frankel et al., “High-performance photonic analogue-digital converter,” Electronic Letters, Dec. 4, 1997, vol. 33, No. 25, pp. 2096-2097. 2 pages.
- Thomas, “Thesis for the Doctor of Philosophy Degree,” UMI Dissertation Services, Jun. 28, 1996.Ann Arbor, MI, US.
- Schlegel et al, “Projection Receiver: A New Efficient Multi-User Detector,” IEEE 0-7803-2509-5/95, 1995. 5 pages.
- Behrens, “Subspace Signal Processing in Structured Noise,” UMI Dissertation Services, Ann Arbor, MI, US. Jun. 1990. 117 pages.
- Non-Final Office Action dated Jul. 31, 2008 for U.S. Appl. No. 11/100,935 dated Apr. 7, 2005.
Type: Grant
Filed: Oct 22, 2014
Date of Patent: Oct 27, 2015
Patent Publication Number: 20150139280
Assignee: III HOLDINGS 1, LLC (Wilmington, DE)
Inventors: Tommy Guess (Lafayette, CO), Michael L. McCloud (Boulder, CO), Vijay Nagarajan (Boulder, CO), Gagandeep Singh Lamba (Thornton, CO)
Primary Examiner: David B. Lugo
Application Number: 14/520,626
International Classification: H04B 7/02 (20060101); H04L 1/02 (20060101); H04B 7/08 (20060101); H04B 1/7107 (20110101); H04J 11/00 (20060101); H04B 1/712 (20110101);